AI Engineer, Ontologies & Knowledge Graphs
Cadence Design Systems24 hours ago
Livonia, MI, USAMid Level
H1B sponsor
Responsibilities
- Build ETL/ELT pipelines that extract data from source code, APIs, file formats, and documentation into structured knowledge stores.
- Design schemas and semantic data models representing entities, relationships, and capabilities.
- Construct and maintain knowledge graphs over heterogeneous product data.
- Develop source-code, AST, and metadata parsers to extract structure automatically.
- Build typed programmatic interfaces and data-access layers over the knowledge layer.
- Implement retrieval and indexing layers using embeddings and RAG.
- Collaborate with domain engineers to decompose complex workflows into discrete, callable operations.
- Assess data-source coverage, quality, and schema completeness across multiple products.
Requirements
- Bachelor’s or master’s degree in Computer Science, Mechanical Engineering, or a similar field.
- Strong Python skills and experience building and consuming REST APIs.
- Experience building ETL/ELT data pipelines over structured and unstructured data.
- Familiarity with graph databases and semantic or ontology modeling, including RDF, OWL, or property graphs.
- Experience with at least one agent framework, such as LangChain, LangGraph, AutoGen, or CrewAI.
- Understanding of how LLMs consume context and call tools through retrieval, RAG, and embeddings.
- Exposure to CAE, FEA, CFD, or a related physical-simulation or engineering domain.
- Ability to work within unfamiliar or undocumented codebases and decompose complex legacy workflows into callable steps.
- Preferred experience with vector databases, data-access and API interface development, structured file parsing, surrogate modeling, or related numerical methods.
Benefits
- Travel is not expected; occasional travel may occur for infrequent team-alignment workshops.
Tech Stack
Categories
AI ApplicationsData Engineering
About Cadence Design Systems
Cadence Design Systems builds electronic design automation (EDA) software, emulation/acceleration hardware, and reusable IP that help semiconductor and systems companies design, verify, and implement chips and electronic systems. It also develops computational engineering tools, including computational fluid dynamics and molecular modeling for drug discovery. Founded in 1988 and headquartered in San Jose, California, Cadence is a public company listed on NASDAQ under the ticker CDNS.